HUMAN INPUT: A Sound/Visual Installation about how AI learns
About
Does A.I. Music have a future without us?Step into a physical simulation of how AI models learn to create music. In the space, a camera counts your presence as a unit of training data for a machine learning model. An empty frame produces only static—the random noise of an untrained system. As more people step into view, the simulated model scales up in complexity, producing music that sounds more and more human-like.
At a time where machine output is quickly becoming the norm, how much of our own creativity are we willing to hand over to algorithms?
This installation is both an educational insight into machine learning and a reminder that AI systems don't create anything on their own: without human input, there is no output.
We recommend allowing 15–20 minutes to experience the installation.
Bookings not required.
----------------
Created by:
Lyndon Riggs (Producer & Creative Direction) – BMus Student UniMelb, BSc (Physics)
Jonathan Latti (Technical Lead & Creative Direction) – UniMelb Alumni, Master of IT (Artificial Intelligence)
Supported by:
Melbourne Conservatorium of Music ‘IgniteLab’ Student Grant.
Date
Thursday 3 September 2026 6:30 PM - 8:30 PM (UTC+10)Location
Room 109 (Ground floor), Southbank Music Building (Building 862)
204-234 St Kilda Rd, Southbank VIC 3006, Southbank Victoria 3006
Contact Form
HUMAN INPUT: A Sound/Visual Installation about how AI learns
Resend recently purchased tickets to our events to your email.
Enter email to start search
You can review the event organiser's terms and conditions here.